Making Soundscape Assessment Accessible: The SoundGraphy Tool

Arturo Olivares Martos; Rafael García-Quesada; Jerónimo Vida Manzano

doi:10.5334/jors.771

Making Soundscape Assessment Accessible: The SoundGraphy Tool

Journal of Open Research Software

Volume 14 (2026): Issue 1

By: Arturo Olivares Martos , Rafael García-Quesada and Jerónimo Vida Manzano

Open Access

|Sep 2026

Abstract

The shift in acoustic environmental studies from noise mitigation to a soundscape-centric approach, formalized by the ISO 12913 series, has highlighted the requirement for sophisticated analytical tools to map human perception. This paper presents SoundGraphy, an open-source Python-based software designed to enhance the characterization and visualization of soundscape data. The architecture of SoundGraphy is established upon a functional tripod: a user-friendly graphical user interface (GUI) that democratizes complex analysis for researchers without programming expertise, an advanced data-filtering and representation system incorporating bivariate Kernel Density Estimation (KDE) and radar plots, and the novel integration of the Structural Summary Method (SSM). SoundGraphy is distributed as a standalone executable, removing technical barriers such as manual dependency management. Ultimately, this tool provides a robust framework for objectifying subjective acoustic experiences, bridging the gap between raw data and nuanced human perceptual outcomes across diverse international contexts.

References

International Organization for Standardization. ISO 12913-1:2014 Acoustics — Soundscape Part 1: Definition and conceptual framework. ISO TC43/SC1/WG54. Available from: https://www.iso.org/standard/52161.html
Search in Google Scholar Back to article
International Organization for Standardization. ISO/TS 12913-2:2018 Acoustics — Soundscape Part 2: Data collection and reporting requirements. ISO TC43/SC1/WG54. Available from: https://www.iso.org/es/contents/data/standard/07/52/75267.html
Search in Google Scholar Back to article
Axelsson Ö, Nilsson ME, Berglund B. A principal components model of soundscape perception. J Acoust Soc Am. 2010;128:2836–2846. DOI: 10.1121/1.3493436
Open DOI Search in Google Scholar Back to article
International Organization for Standardization. ISO/TS 12913-3:2025 Acoustics — Soundscape Part 3: Data analysis. ISO TC43/SC1/WG54. Available from: https://www.iso.org/es/contents/data/standard/08/69/86955.html
Search in Google Scholar Back to article
Mitchell A, Aletta F, Kang J. How to analyse and represent quantitative soundscape data. JASA Express Lett. 2022;2. DOI: 10.1121/10.0009794
Open DOI Search in Google Scholar Back to article
Aletta F, Mitchell A, Oberman T, Kang J, Khelil S, Bouzir TAK, et al. Soundscape descriptors in eighteen languages: translation and validation through listening experiments. Appl Acoust. 2024;224. DOI: 10.1016/j.apacoust.2024.110109
Open DOI Search in Google Scholar Back to article
Vida J, Antonio Almagro J, García-Quesada R, Aletta F, Oberman T, Mitchell A, et al. Soundscape attributes in Spanish: a comparison with the English version of the protocol proposed in Method A of the ISO/TS 12913–2. Appl Acoust. 2023;211. DOI: 10.1016/j.apacoust.2023.109516
Open DOI Search in Google Scholar Back to article
Yu QY, Bagas L, Yang PH, Zhang D. GeoPyTool: A cross-platform software solution for common geological calculations and plots. Geosci Front. 2019;10:1437–1447. DOI: 10.1016/j.gsf.2018.08.001
Open DOI Search in Google Scholar Back to article
Ulloa JS, Haupert S, Latorre JF, Aubin T, Sueur J. scikit-maad: An open-source and modular toolbox for quantitative soundscape analysis in Python. Methods Ecol Evol. 2021;12:2334–2340. DOI: 10.1111/2041-210X.13711
Open DOI Search in Google Scholar Back to article
Rosenberg DM, Horn CC. Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks. J Neurophysiol. 2016;116:252–262. DOI: 10.1152/jn.00137.2016
Open DOI Search in Google Scholar Back to article
Arteaga C, Park JW, Beeramoole PB, Paz A. xlogit: an open-source Python package for GPU-accelerated estimation of Mixed Logit models. J Choice Model. 2022;42:100339. DOI: 10.1016/j.jocm.2021.100339
Open DOI Search in Google Scholar Back to article
Chabib A, Witz JF, Gosselet P, Magnier V. GCPU_OpticalFlow: a GPU accelerated Python software for strain measurement. SoftwareX. 2024;26. DOI: 10.1016/j.softx.2024.101688
Open DOI Search in Google Scholar Back to article
Osborn Popp T, Karthikeyan M, Cuccaro A, Drallios K. NMR_Plotter: a Python GUI for Generating Figures from NMR Spectra. J Open Res Softw. 2025;13. DOI: 10.5334/jors.617
Open DOI Search in Google Scholar Back to article
Del Grosso NA, Sirota A. Ratcave: a 3D graphics python package for cognitive psychology experiments. Behav Res Methods. 2019;51:2085–2093. DOI: 10.3758/s13428-019-01245-x
Open DOI Search in Google Scholar Back to article
Liu Q, Qiao Z, Lv Y. PyVT: a python-based open-source software for visualization and graphic analysis of fluid dynamics datasets. Aerosp Sci Technol. 2021;117. DOI: 10.1016/j.ast.2021.106961
Open DOI Search in Google Scholar Back to article
Mitchell A. Soundscapy: a python package for soundscape assessment and analysis. 53rd Int Congr Expo Noise Control Eng Internoise 2024. 2024;6:4036–4046. DOI: 10.3397/in_2024_3404
Open DOI Search in Google Scholar Back to article
Sueur M, Maillard JF, Lacroix-Andrivet O, Rüger CP, Giusti P, Lavanant H, et al. PyC2MC: an Open-Source Software Solution for Visualization and Treatment of High-Resolution Mass Spectrometry Data. J Am Soc Mass Spectrom. 2023;34:617–626. DOI: 10.1021/jasms.2c00323
Open DOI Search in Google Scholar Back to article
Venter G, Neaves M. SUN-DIC: a Python-based open-source software tool for Digital Image Correlation. Adv Eng Softw. 2025;211. DOI: 10.1016/j.advengsoft.2025.104043
Open DOI Search in Google Scholar Back to article
Chilenski MA, Faust IC, Walk JR. eqtools: Modular, extensible, open-source, cross-machine Python tools for working with magnetic equilibria. Comput Phys Commun. 2017;210:155–162. DOI: 10.1016/j.cpc.2016.09.011
Open DOI Search in Google Scholar Back to article
Tavakolizadeh N, Mohammadigheymasi H, Pombo N. FQSHA: an open-source Python software for fault-based seismic hazard assessment. SoftwareX. 2025;32:102339. DOI: 10.1016/j.softx.2025.102339
Open DOI Search in Google Scholar Back to article
Susano Pinto DM, Phillips MA, Hall N, Mateos-Langerak J, Stoychev D, Susano Pinto T, et al. Python-Microscope – a new open-source Python library for the control of microscopes. J Cell Sci. 2021;134:1–7. DOI: 10.1242/jcs.258955
Open DOI Search in Google Scholar Back to article
Gardner J, Wooding B, Nejati A, Lavaei A. TRUST: stabiliTy and Safety ContRoller Synthesis for Unknown Dynamical Models Using a Single Trajectory. HSCC 2025 – Proc 28th Int Conf Hybrid Syst Comput Control. 2025;25:1–16. DOI: 10.1145/3716863.3718036
Open DOI Search in Google Scholar Back to article
Ma Y, Eizenberg-Magar I, Antebi Y. EasyFlow: an open-source, user-friendly cytometry analyzer with graphic user interface (GUI). PLoS One. 2024;19:1–7. DOI: 10.1371/journal.pone.0308873
Open DOI Search in Google Scholar Back to article
Zimmermann J, Wright AGC. Beyond description in interpersonal Construct Validation: methodological advances in the circumplex structural summary approach. Assessment. 2017;24:3–23. DOI: 10.1177/1073191115621795
Open DOI Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.5334/jors.771 | Journal eISSN: 2049-9647

Journal RSS Feed

Language: English

Page range: 63 - 63

Submitted on: Jul 20, 2026

Accepted on: Sep 9, 2026

Published on: Sep 23, 2026

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Keywords:

soundscape,

citizens perception,

urban,

context,

ISO 12913,

SoundGraphy

© 2026 Arturo Olivares Martos, Rafael García-Quesada, Jerónimo Vida Manzano, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 14 (2026): Issue 1